article · Journal of Medicine Surgery and Public Health
Artificial intelligence is changing surgical care through robotic-assisted procedures, preoperative risk prediction, and intraoperative decision-making. Despite these advances, growing reliance on automated systems poses serious risks to clinical practice. Overdependence on algorithmic recommendations threatens to erode surgeons' technical skills, compromise autonomous decision-making, and increase the likelihood of surgical errors. Furthermore, the lack of transparency in black-box algorithms introduces ethical challenges, as clinicians may feel compelled to follow guidance they cannot independently verify. Biases stemming from inadequate training datasets also threaten to cause misdiagnoses and exacerbate healthcare disparities. Safeguarding patient safety requires treating artificial intelligence as a supportive tool rather than a replacement for human capability. Integrating these technologies safely requires comprehensive clinical training, robust legal frameworks, transparent systems, and clear practice guidelines that preserve human clinical judgment in healthcare systems.
As artificial intelligence enters operating theatres, understanding its operational limits is critical for patient safety. Automated recommendations risk eroding human surgical capability and introducing errors if adopted without critical oversight. Establishing transparent systems and rigorous training safeguards clinical autonomy, prevents systemic biases from harming patients, and ensures technological advances strengthen rather than undermine healthcare standards.
The abstract highlights clinical applications in robotic-assisted surgery, preoperative risk prediction, and intraoperative guidance for surgeons and healthcare providers. Developers aiming to deploy these tools must focus on system transparency and explainable models to mitigate black-box risks. Given the stated need for clear regulatory frameworks and comprehensive clinician training, widespread safe adoption requires developers to design systems that assist rather than replace human judgment.
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Artificial Intelligence (AI) is transforming surgery, advancing robotic-assisted procedures, preoperative risk prediction, and intraoperative decision-making. However, increasing reliance on AI raises concerns, particularly regarding the potential deskilling of surgeons and overdependence on algorithmic recommendations. This over-reliance risks diminishing surgeons' skills, increasing surgical errors, and undermining their decision-making autonomy. The "black-box" nature of many AI systems also presents ethical challenges, as surgeons may feel pressured to follow AI-driven recommendations without fully understanding the underlying logic. Additionally, AI biases from inadequate datasets can result in misdiagnoses and worsen healthcare disparities. While AI offers immense promise, a cautious approach is vital to prevent overdependence. Ensuring that AI enhances rather than replaces human skills in surgery is critical to maintaining patient safety. Ongoing research, ethical considerations, and robust legal frameworks are essential for guiding AI's integration into surgical practice. Surgeons must receive comprehensive training to incorporate AI into their work without compromising clinical judgment. This letter emphasizes the need for clear guidelines, thorough surgeon training, and transparent AI systems to address the risks associated with AI dependence. By taking these steps, healthcare systems can harness the benefits of AI while preserving the essential human aspects of surgical care.
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DOI: 10.1016/j.glmedi.2024.100140
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